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Clinical Perspectives on the Use of Computer Vision in Glaucoma Screening

Medicina (Kaunas, Lithuania), 2024-03, Vol.60 (3), p.428

2024

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An algorithm for glaucoma screening in clinical settings and its preliminary performance profile

Journal of ophthalmic & vision research, 2013-10, Vol.8 (4), p.314-320

2013

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Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation

IEEE transactions on medical imaging, 2018-07, Vol.37 (7), p.1597-1605

2018

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Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image

IEEE transactions on medical imaging, 2018-11, Vol.37 (11), p.2493-2501

2018

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Die wirtschaftliche Bedeutung von Individuellen Gesundheitsleistungen (IGeL) in der Augenheilkunde über die Zeit: Umfrageergebnisse aus 2010 und 2020

Die Ophthalmologie, 2023-04, Vol.120 (4), p.390-399

2023

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Mean curvature and texture constrained composite weighted random walk algorithm for optic disc segmentation towards glaucoma screening

Healthcare technology letters, 2018-02, Vol.5 (1), p.31-37

2018

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Glaucoma – risk factors and current challenges in the diagnosis of a leading cause of visual impairment

Maturitas, 2022-09, Vol.163, p.15-22

2022

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Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening

IEEE transactions on medical imaging, 2013-06, Vol.32 (6), p.1019-1032

2013

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Facilitators and Barriers to Glaucoma Screening Identified by Key Stakeholders in Underserved Communities: A Community-engaged Research Approach

Journal of glaucoma, 2021-05, Vol.30 (5), p.402

2021

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Michigan Screening and Intervention for Glaucoma and Eye Health Through Telemedicine (MI-SIGHT): Baseline Methodology for Implementing and Assessing a Community-based Program

Journal of glaucoma, 2021-05, Vol.30 (5), p.380

2021

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Sparse Dissimilarity-Constrained Coding for Glaucoma Screening

IEEE transactions on biomedical engineering, 2015-05, Vol.62 (5), p.1395-1403

2015

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Validation of the eyeTelemed IOPvet indentation tonometer for use in dogs

Veterinary ophthalmology, 2024-04

2024

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Manhattan Vision Screening and Follow-Up Study (NYC-SIGHT): Subanalysis of Referral to Ophthalmology

Current eye research, 2024-02, Vol.49 (2), p.197-206

2024

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Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images

Expert systems with applications, 2022-11, Vol.207, p.117968, Article 117968

2022

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Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning

Medical image analysis, 2020-07, Vol.63, p.101695-101695, Article 101695

2020

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A spatial-aware joint optic disc and cup segmentation method

Neurocomputing (Amsterdam), 2019-09, Vol.359, p.285-297

2019

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Agreement of a Novel Artificial Intelligence Software With Optical Coherence Tomography and Manual Grading of the Optic Disc in Glaucoma

Journal of glaucoma, 2023-04, Vol.32 (4), p.280

2023

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Efficient feature selection based novel clinical decision support system for glaucoma prediction from retinal fundus images

Medical engineering & physics, 2024-01, Vol.123, p.104077-104077, Article 104077

2024

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Joint optic disc and cup segmentation based on elliptical-like morphological feature and spatial geometry constraint

Computers in biology and medicine, 2023-05, Vol.158, p.106796-106796, Article 106796

2023

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Evaluations of Deep Learning Approaches for Glaucoma Screening Using Retinal Images from Mobile Device

Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1449

2022

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Deep Learning Application to Detect Glaucoma with a Mixed Training Approach: Public Database and Expert-Labeled Glaucoma Population

Ophthalmic research, 2023-01, Vol.66 (1), p.1278-1285

2023

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Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning

IEEE journal of biomedical and health informatics, 2020-04, Vol.24 (4), p.1104-1113

2020

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Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images

Computerized medical imaging and graphics, 2019-10, Vol.77, p.101643-101643, Article 101643

2019

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Outcomes and Revenue Generation of a Community-based Screening at a Center in the United States: The SToP Glaucoma Program

Journal of glaucoma, 2022-07, Vol.31 (7), p.523

2022

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Clinical Perspectives on the Use of Computer Vision in Glaucoma Screening

An algorithm for glaucoma screening in clinical settings and its preliminary performance profile

Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation

Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image

Die wirtschaftliche Bedeutung von Individuellen Gesundheitsleistungen (IGeL) in der Augenheilkunde über die Zeit: Umfrageergebnisse aus 2010 und 2020

Mean curvature and texture constrained composite weighted random walk algorithm for optic disc segmentation towards glaucoma screening

Glaucoma – risk factors and current challenges in the diagnosis of a leading cause of visual impairment

Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge

Facilitators and Barriers to Glaucoma Screening Identified by Key Stakeholders in Underserved Communities: A Community-engaged Research Approach

Michigan Screening and Intervention for Glaucoma and Eye Health Through Telemedicine (MI-SIGHT): Baseline Methodology for Implementing and Assessing a Community-based Program

Sparse Dissimilarity-Constrained Coding for Glaucoma Screening

Validation of the eyeTelemed IOPvet indentation tonometer for use in dogs

Manhattan Vision Screening and Follow-Up Study (NYC-SIGHT): Subanalysis of Referral to Ophthalmology

Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images

Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning

A spatial-aware joint optic disc and cup segmentation method

Agreement of a Novel Artificial Intelligence Software With Optical Coherence Tomography and Manual Grading of the Optic Disc in Glaucoma

Efficient feature selection based novel clinical decision support system for glaucoma prediction from retinal fundus images

Joint optic disc and cup segmentation based on elliptical-like morphological feature and spatial geometry constraint

Evaluations of Deep Learning Approaches for Glaucoma Screening Using Retinal Images from Mobile Device

Deep Learning Application to Detect Glaucoma with a Mixed Training Approach: Public Database and Expert-Labeled Glaucoma Population

Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning

Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images

Outcomes and Revenue Generation of a Community-based Screening at a Center in the United States: The SToP Glaucoma Program

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